A Framework for Human-like Behavior in an Immersive Virtual World


Autoria(s): Kuijk, Fons; Van Broeck, Sigurd; Dareau, Claude; Ravenet, Brian; Ochs, Magalie; Apostolakis, Konstantinos; Daras, Petros; Monaghan, David; O'Connor, Noel E; Wall, Julie; Izquierdo, Ebroul
Data(s)

01/07/2013

Resumo

Just as readers feel immersed when the story line adheres to their experiences, users will more easily feel immersed in a virtual environment if the behavior of the characters in that environment adheres to their expectations, based on their lifelong observations in the real world. This paper introduces a framework that allows authors to establish natural, human-like behavior, physical interaction and emotional engagement of characters living in a virtual environment. Represented by realistic virtual characters, this framework allows people to feel immersed in an Internet based virtual world in which they can meet and share experiences in a natural way as they can meet and share experiences in real life. Rather than just being visualized in a 3D space, the virtual characters (autonomous agents as well as avatars representing users) in the immersive environment facilitate social interaction and multi-party collaboration, mixing virtual with real.

Formato

text

Identificador

http://roar.uel.ac.uk/4520/1/DSP2013_camera.pdf

Kuijk, Fons and Van Broeck, Sigurd and Dareau, Claude and Ravenet, Brian and Ochs, Magalie and Apostolakis, Konstantinos and Daras, Petros and Monaghan, David and O'Connor, Noel E and Wall, Julie and Izquierdo, Ebroul (2013) ‘A Framework for Human-like Behavior in an Immersive Virtual World’, in Proceedings of 2013 18th International Conference on Digital Signal Processing (DSP). 18th International Conference on Digital Signal Processing (DSP), 2013 . Fira, 1-3 July 2013. IEEE, pp. 1-7. (10.1109/ICDSP.2013.6622826 <http://dx.doi.org/10.1109/ICDSP.2013.6622826>).

Publicador

IEEE

Relação

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6622826

http://roar.uel.ac.uk/4520/

Tipo

Book Section

PeerReviewed